• Title/Summary/Keyword: Viewing Performance

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Influence of Fluorescent Dye Doping on Efficiency of Red Organic Light-emitting Diodes (형광염료 도핑이 적색 유기 발광 소자의 효율에 미치는 영향)

  • Lee, Jeong-Gu;Lim, Kee-Joe
    • The Journal of the Korea Contents Association
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    • v.8 no.11
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    • pp.18-24
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    • 2008
  • An organic light-emitting diode(OLED) has advantages of low power driving, self light-emitting, wide viewing angle, excellent high resolution, full color, high reproduction, fast response speed, simple manufacturing process, or the like. However, there are still a number of challenges to get over in order to put it to practical use as a high performance display. First of all, the most important thing is to improve the efficiency of the OLED element in order to commercialize it. To this end, its efficiency can be improved by lowering the driving voltage through the improvement of structure of the OLED element and the application of new organic substance. Therefore, in this study, we have manufactured a red OLED element by applying fluorescent dyes to the emitting layer of the element having the structure of ITO/TPD/ Znq2+DCJTB /Znq2/Al and the structure of ITO/CuPc/NPB/ Alq3+DCJTB/Alq3/Al, in order to light-emitting various colors or improve the brightness and the efficiency, and then we have evaluated its electrical and optical characteristics.

No-reference Image Blur Assessment Based on Multi-scale Spatial Local Features

  • Sun, Chenchen;Cui, Ziguan;Gan, Zongliang;Liu, Feng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.10
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    • pp.4060-4079
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    • 2020
  • Blur is an important type of image distortion. How to evaluate the quality of blurred image accurately and efficiently is a research hotspot in the field of image processing in recent years. Inspired by the multi-scale perceptual characteristics of the human visual system (HVS), this paper presents a no-reference image blur/sharpness assessment method based on multi-scale local features in the spatial domain. First, considering various content has different sensitivity to blur distortion, the image is divided into smooth, edge, and texture regions in blocks. Then, the Gaussian scale space of the image is constructed, and the categorized contrast features between the original image and the Gaussian scale space images are calculated to express the blur degree of different image contents. To simulate the impact of viewing distance on blur distortion, the distribution characteristics of local maximum gradient of multi-resolution images were also calculated in the spatial domain. Finally, the image blur assessment model is obtained by fusing all features and learning the mapping from features to quality scores by support vector regression (SVR). Performance of the proposed method is evaluated on four synthetically blurred databases and one real blurred database. The experimental results demonstrate that our method can produce quality scores more consistent with subjective evaluations than other methods, especially for real burred images.

Transmittance Improvement with Reversed Fishbone-Shape Electrode in Vertical Alignment Liquid Crystal Display

  • Lim, Young Jin;Kim, Hyo Joong;Kim, Min Su;Kim, Gi Heon;Kim, Yong Hae;Lee, Gi-Dong;Lee, Seung Hee
    • Journal of the Optical Society of Korea
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    • v.20 no.6
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    • pp.794-798
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    • 2016
  • A polymer-stabilized vertical alignment (PS-VA) mode with fishbone-shaped pixel electrode structure is mainly used in large-sized liquid crystal displays (LCDs) owing to its advantages such as wide viewing angle, good transmittance and fast response time. One drawback of this mode is a main bone electrode, which crosses in the center of a pixel. It causes the transmittance to decrease badly because LCs cannot be reoriented in this region, and thus, it is particularly unfavorable in an ultra-high-definition LCD. Here, we propose an innovative structure with the main bone electrode relocated to the edge area in a pixel, and investigate how this reverse directed fishbone-shaped pixel electrode structure affects electro-optic characteristics. The proposed structure shows enhanced electro-optic performance, such as the higher transmittance and the faster response time than the conventional VA mode with fishbone-shaped pixel electrode structure.

Design and Performance Evaluation of DGPS Based on Optimal and Sub-optimal Reference Point (Optimal 및 Sub-optimal 기준점을 사용한 DGPS 설계 및 성능평가)

  • 고광섭;홍성래;정세모
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.2 no.3
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    • pp.343-352
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    • 1998
  • The use of DGPS enhances standalone GPS accuracy and removes common errors from two or more receivers viewing the same satellites. The design of DGPS system contains a precise reference point which is able to compute the common errors to update the pseudo range of users receivers. It should take a great time and cost to provide precise and sufficient accuracy of the reference point. That is, it is natural to measure the parameters from satellites with specific survey instrument system, and then obtain that by post processing. The purpose of the study is to examine the bounds of accuracy which resulted from RTCM correction data transmitted from a simply designed DGPS system. In the paper, We design and evaluate the DGPS system based m the surveyed reference point, and Sub-optimal no by a Standalone GPS as well. As a result of the study, it is shown that the designed system may be applied to the specific marine activity in civilian and military.

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Moving Object Preserving Seamline Estimation (이동 객체를 보존하는 시접선 추정 기술)

  • Gwak, Moonsung;Lee, Chanhyuk;Lee, HeeKyung;Cheong, Won-Sik;Yang, Seungjoon
    • Journal of Broadcast Engineering
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    • v.24 no.6
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    • pp.992-1001
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    • 2019
  • In many applications, images acquired from multiple cameras are stitched to form an image with a wide viewing angle. We propose a method of estimating a seam line using motion information to stitch multiple images without distortion of the moving object. Existing seam estimation techniques usually utilize an energy function based on image gradient information and parallax. In this paper, we propose a seam estimation technique that prevents distortion of moving object by adding temporal motion information, which is calculated from the gradient information of each frame. We also propose a measure to quantify the distortion level of stitched images and to verify the performance differences between the existing and proposed methods.

LSTM-based IPTV Content Recommendation using Watching Time Information (시청 시간대 정보를 활용한 LSTM 기반 IPTV 콘텐츠 추천)

  • Pyo, Shinjee;Jeong, Jin-Hwan;Song, Injun
    • Journal of Broadcast Engineering
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    • v.24 no.6
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    • pp.1013-1023
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    • 2019
  • In content consumption environment with various live TV channels, VoD contents and web contents, recommendation service is now a necessity, not an option. Currently, various kinds of recommendation services are provided in the OTT service or the IPTV service, such as recommending popular contents or recommending related contents which similar to the content watched by the user. However, in the case of a content viewing environment through TV or IPTV which shares one TV and a TV set-top box, it is difficult to recommend proper content to a specific user because one or more usage histories are accumulated in one subscription information. To solve this problem, this paper interprets the concept of family as {user, time}, extends the existing recommendation relationship defined as {user, content} to {user, time, content} and proposes a method based on deep learning algorithm. Through the proposed method, we evaluate the recommendation performance qualitatively and quantitatively, and verify that our proposed model is improved in recommendation accuracy compared with the conventional method.

The Influence of Fluorescent Dye Doping on Efficiency of Organic Light-Emitting Diodes (형광염료 도핑이 유기발광소자의 효율에 미치는 영향)

  • Lee, jeong-gu
    • Proceedings of the Korea Contents Association Conference
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    • 2008.05a
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    • pp.301-305
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    • 2008
  • An organic light-emitting diode(OLED) has advantages of low power driving, self light-emitting, wide viewing angle, excellent high resolution, full color, high reproduction, fast response speed, simple manufacturing process, or the like. However, there are still a number of challenges to get over in order to put it to practical use as a high performance display. First of all, the most important thing is to improve the efficiency of the OLED element in order to commercialize it. To this end, its efficiency can be improved by lowering the driving voltage through the improvement of structure of the OLED element and the application of new organic substance. Therefore, in this study, we have manufactured a red OLED element by applying fluorescent dyes to the emitting layer of the element having the structure of ITO/TPD/Znq2+DCJTB/Znq2/Al and the structure of ITO/CuPc/NPB/Alq3+DCJTB/Alq3/Al, in order to light-emitting various colors or improve the brightness and the efficiency, and then we have evaluated its electrical and optical characteristics.

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Improved recognition of 3D objects using nonlinear correlator based on direct pixel mapping in curving-effective integral imaging (커브형 집적 영상에서 DPM 기반의 비선형 상관기를 이용한 3D 물체 인식 향상)

  • Lee, Joon-Jae;Shin, Donghak;Lee, Byung-Gook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.1
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    • pp.190-196
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    • 2013
  • Curved integral imaging is a simple method to display 3D images in space using lens array and provides wide viewing angle. In this paper, we propose a nonlinear 3D correlator based on the direct pixel-mapping (DPM) method in order to improve the recognition performance of 3D target object in curving-effective integral imaging. With this scheme, the elemental image array (EIA) originally picked up from a partially occluded 3-D target object can be converted into a resolution enhanced new EIA by using DPM method. Then, through nonlinear cross-correlations between the reconstructed reference and the target plane images, the improved pattern recognition can be performed from the correlation outputs. To show the feasibility of the proposed method, some preliminary experiments are carried out and results are presented by comparing the conventional method.

Performance Improvement of Tone Compression of HDR Images and Qualitative Evaluations using a Modified iCAM06 Technique (Modified iCAM06 기법을 이용한 HDR 영상의 tone compression 개선과 평가)

  • Jang, Jae-Hoon;Lee, Sung-Hak;Sohng, Kyu-Ik
    • Journal of Korea Multimedia Society
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    • v.12 no.8
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    • pp.1055-1065
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    • 2009
  • High-dynamic-range (HDR) rendering technology changes the range from the broad dynamic range (up to 9 log units) of a luminance, in a real-world scene, to the 8-bit dynamic range which is the common output of a display's dynamic range. One of the techniques, iCAM06 has a superior capacity for making HDR images. iCAM06 is capable of making color appearance predictions of HDR images based on CIECAM02 and incorporating spatial process models in the human visual system (HVS) for contrast enhancement. However there are several problems in the iCAM06, including obscure user controllable factors to be decided. These factors have a serious effect on the output image but users get into difficulty in that they can't find an adequate solution on how to adjust. So a suggested model gives a quantitative formulation for user controllable factors of iCAM06 to find suitable values which corresponds with different viewing conditions, and improves subjective visuality of displayed images for varying illuminations.

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Learning Similarity between Hand-posture and Structure for View-invariant Hand-posture Recognition (관측 시점에 강인한 손 모양 인식을 위한 손 모양과 손 구조 사이의 학습 기반 유사도 결정 방법)

  • Jang Hyo-Young;Jung Jin-Woo;Bien Zeung-Nam
    • Journal of the Korean Institute of Intelligent Systems
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    • v.16 no.3
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    • pp.271-274
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    • 2006
  • This paper deals with a similarity decision method between the shape of hand-postures and their structures to improve performance of the vision-based hand-posture recognition system. Hand-posture recognition by vision sensors has difficulties since the human hand is an object with high degrees of freedom, and hence grabbed images present complex self-occlusion effects and, even for one hand-posture, various appearances according to viewing directions. Therefore many approaches limit the relative angle between cameras and hands or use multiple cameras. The former approach, however, restricts user's operation area. The latter requires additional considerations on the way of merging the results from each camera image to get the final recognition result. To recognize hand-postures, we use both of appearance and structural features and decide the similarity between the two types of features by learning.